Full Stack Data Analyst A Z BootCamp

Full Stack Data Analyst A Z BootCamp
     001 Structure data for optimum usage.mp4 -


     TutsNode.com.txt -


     001 IMPORTANT NOTE.html -


     002 Uber Loading Dataset and Preparation_en.srt -


     002 working with Identifiers in Python_en.srt -


     001 Structure data for optimum usage_en.srt -


     002 Converting lists to tables_en.srt -


     001 Sorting concepts and sort menu options_en.srt -


     005 variables in python_en.srt -


     001 Using Advanced Filter for complex OR criteria_en.srt -


     001 Introduction_en.srt -


     [TGx]Downloaded from torrentgalaxy.to .txt -


     008 defining input functions in python_en.srt -


     004 performing bitwise manipulations of data in python_en.srt -


     003 Using an array formula to count the number of unique items in a list_en.srt -


     003 performing logic in python_en.srt -


     003 Write Comments in python_en.srt -


     002 Sorting from menu icons_en.srt -


     006 Naming Python Variables_en.srt -


     008 Use date functions with WHERE_en.srt -


     002 Expanding and collapsing with grouping and outlining symbols_en.srt -


     003 Visualise your database_en.srt -


     002 Use functions_en.srt -


     006 More advanced string functions_en.srt -


     004 Sorting based on the order of data in custom lists_en.srt -


     002 Understand SQL Indexes and keys_en.srt -


     002 Using Advanced Filter for specialized filters_en.srt -


     005 Use string functions on your data_en.srt -


     001 Single and multiple-column filtering_en.srt -


     002 Accessing Related Tables_en.srt -


     001 Installing on Windows_en.srt -


     006 Filtering Data_en.srt -


     002 The SELECT Function_en.srt -


     003 Multiple-key sorting_en.srt -


     003 Use procedures_en.srt -


     001 Setting up single and multiple-level subtotals_en.srt -


     002 Using a specialized array formula to identify data that's been duplicated_en.srt -


     003 Use LIKE, IN, and wildcards with WHERE_en.srt -


     006 Uber Analysis Of Purpose Of Trips_en.srt -


     005 Sorting by cell color, font color, or cell icon_en.srt -


     009 importing libraries in python_en.srt -


     005 Using the Top Ten (value or percent) option_en.srt -


     003 De-duplicate with SELECT DISTINCT_en.srt -


     003 The SELECT Statement_en.srt -


     001 Use GROUP BY with count_en.srt -


     002 Raw_en.srt -


     005 Overview_en.srt -


     001 Embedding SQL_en.srt -


     001 Use variables_en.srt -


     001 Retrieve data with SELECT_en.srt -


     006 Text 2_en.srt -


     002 Defining Data Analysis_en.srt -


     001 Introduction_en.srt -


     005 Uber Analysis Of Hot Hour Of Trips_en.srt -


     002 Filter results with WHERE clause_en.srt -


     002 The NULL Value_en.srt -


     003 Using Advanced Filter to create unique lists from repeating field data_en.srt -


     001 Exercise Files.html -


     004 Merge data across tables with JOINS_en.srt -


     002 Understanding SQL_en.srt -


     003 Using date filters_en.srt -


     003 How to use the Exercise files_en.srt -


     external-assets-links.txt -


     003 Relating Multiple Tables_en.srt -


     004 Key Players in the Data Ecosystem_en.srt -


     001 What are Aggregates_en.srt -


     006 Combine rows with SQL UNION_en.srt -


     005 assigning variables in python_en.srt -


     004 working with strings in python_en.srt -


     006 Creating custom filters_en.srt -


     005 Understand SQL JOINS_en.srt -


     003 Constraining Columns_en.srt -


     001 Automating Data With Triggers_en.srt -


     002 Filter grouped results with HAVING_en.srt -


     005 Counting Rows_en.srt -


     002 Preventing Updates_en.srt -


     006 Deleting Data_en.srt -


     003 Modern Data Ecosystem_en.srt -


     004 Using numeric filters_en.srt -


     002 Get familiar with phpMyAdmin_en.srt -


     002 Using text filters_en.srt -


     001 Using the Remove Duplicates command_en.srt -


     004 Exporting_en.srt -


     001 About SQL_en.srt -


     002 Data Integrity_en.srt -


     010 Uber Analysis Of Starting Point Of Trips_en.srt -


     003 INSERT, UPDATE and DELETE Functions_en.srt -


     007 assigning members in python_en.srt -


     003 Example Timestamps_en.srt -


     005 ID Columns_en.srt -


     007 Saving & Exporting_en.srt -


     003 Selecting Part Of A String_en.srt -


     001 Numeric Types_en.srt -


     008 Ordering Output_en.srt -


     001 Inserting Rows_en.srt -


     007 Sorting data in random order_en.srt -


     007 Defining output Function_en.srt -


     003 Text_en.srt -


     008 Select from a selection with subqueries_en.srt -


     002 Searching Within A Result Set_en.srt -


     002 Database Organisation_en.srt -


     007 Removing Duplicates_en.srt -


     001 About SQL Strings_en.srt -


     001 Creating a Subselect_en.srt -


     002 Finding The Length Of A String_en.srt -


     003 Performance_en.srt -


     006 Sorting columns (sorting left-to-right)_en.srt -


     001 Addition of Data points Python_en.srt -


     004 Removing Spaces_en.srt -


     003 Uber Analysis Of Categories Of Trips_en.srt -


     007 Change report headings with alias_en.srt -


     004 Creating a Joined View_en.srt -


     009 Conditional Expressions_en.srt -


     004 Selecting Rows_en.srt -


     004 Changing A Schema_en.srt -


     001 Understanding JOIN_en.srt -


     003 Integer Division_en.srt -


     008 Uber Analysis Of Number Of Trips Per Day_en.srt -


     004 Rounding Numbers_en.srt -


     005 Folding Case_en.srt -


     001 Date and Times_en.srt -


     002 What Type is That Value_en.srt -


     002 Date and Time Related Functions_en.srt -


     004 Merge rows with GROUP BY_en.srt -


     006 assigning special variables in python_en.srt -


     007 Merge data across tables with IN_en.srt -


     002 Using Aggregate Functions_en.srt -


     002 Comparing Strings and variables in Python_en.srt -


     003 Aggregating DISTINCT Values_en.srt -


     001 What are Transactions_en.srt -


     003 Creating a View_en.srt -


     007 Uber Analysis Of Day With Highest Number Of Trips_en.srt -


     009 Uber Analysis Of Number Of In The Month_en.srt -


     001 Make your queries faster_en.srt -


     004 Sort SQL results with ORDER BY_en.srt -


     004 Uber Analysis Of Length Of Trips_en.srt -


     003 Understand the demo database_en.srt -


     001 Introduction_en.srt -


     001 Introduction_en.srt -


     001 Introduction_en.srt -


     0 -


     002 Converting lists to tables.mp4 -


     1 -


     002 Uber Loading Dataset and Preparation.mp4 -


     2 -


     001 Sorting concepts and sort menu options.mp4 -


     3 -


     001 Using Advanced Filter for complex OR criteria.mp4 -


     4 -


     002 working with Identifiers in Python.mp4 -


     5 -


     002 Sorting from menu icons.mp4 -


     6 -


     008 Use date functions with WHERE.mp4 -


     7 -


     002 Expanding and collapsing with grouping and outlining symbols.mp4 -


     8 -


     006 More advanced string functions.mp4 -


     9 -


     002 Understand SQL Indexes and keys.mp4 -


     10 -


     004 Sorting based on the order of data in custom lists.mp4 -


     11 -


     005 Sorting by cell color, font color, or cell icon.mp4 -


     12 -


     003 Using an array formula to count the number of unique items in a list.mp4 -


     13 -


     003 Multiple-key sorting.mp4 -


     14 -


     001 Single and multiple-column filtering.mp4 -


     15 -


     005 Use string functions on your data.mp4 -


     16 -


     003 De-duplicate with SELECT DISTINCT.mp4 -


     17 -


     002 Using a specialized array formula to identify data that's been duplicated.mp4 -


     18 -


     006 Filtering Data.mp4 -


     19 -


     001 Use GROUP BY with count.mp4 -


     20 -


     002 Use functions.mp4 -


     21 -


     001 Setting up single and multiple-level subtotals.mp4 -


     22 -


     003 Use LIKE, IN, and wildcards with WHERE.mp4 -


     23 -


     002 Using Advanced Filter for specialized filters.mp4 -


     24 -


     003 Use procedures.mp4 -


     25 -


     001 Retrieve data with SELECT.mp4 -


     26 -


     005 variables in python.mp4 -


     27 -


     003 Using Advanced Filter to create unique lists from repeating field data.mp4 -


     28 -


     002 Filter results with WHERE clause.mp4 -


     29 -


     001 Use variables.mp4 -


     30 -


     008 defining input functions in python.mp4 -


     31 -


     002 The SELECT Function.mp4 -


     32 -


     003 Using date filters.mp4 -


     33 -


     002 Accessing Related Tables.mp4 -


     34 -


     003 Visualise your database.mp4 -


     35 -


     001 Installing on Windows.mp4 -


     36 -


     003 Write Comments in python.mp4 -


     37 -


     005 Using the Top Ten (value or percent) option.mp4 -


     38 -


     004 Merge data across tables with JOINS.mp4 -


     39 -


     003 Relating Multiple Tables.mp4 -


     40 -


     003 performing logic in python.mp4 -


     41 -


     006 Combine rows with SQL UNION.mp4 -


     42 -


     002 Filter grouped results with HAVING.mp4 -


     43 -


     002 The NULL Value.mp4 -


     44 -


     006 Naming Python Variables.mp4 -


     45 -


     001 Embedding SQL.mp4 -


     46 -


     006 Creating custom filters.mp4 -


     47 -


     002 Get familiar with phpMyAdmin.mp4 -


     48 -


     004 performing bitwise manipulations of data in python.mp4 -


     49 -


     003 The SELECT Statement.mp4 -


     50 -


     001 Using the Remove Duplicates command.mp4 -


     51 -


     002 Using text filters.mp4 -


     52 -


     001 Automating Data With Triggers.mp4 -


     53 -


     004 Using numeric filters.mp4 -


     54 -


     006 Text 2.mp4 -


     55 -


     002 Preventing Updates.mp4 -


     56 -


     005 Overview.mp4 -


     57 -


     010 Uber Analysis Of Starting Point Of Trips.mp4 -


     58 -


     003 Modern Data Ecosystem.mp4 -


     59 -


     002 Data Integrity.mp4 -


     60 -


     001 What are Aggregates.mp4 -


     61 -


     003 Constraining Columns.mp4 -


     62 -


     004 Key Players in the Data Ecosystem.mp4 -


     63 -


     003 Example Timestamps.mp4 -


     64 -


     006 Uber Analysis Of Purpose Of Trips.mp4 -


     65 -


     002 Defining Data Analysis.mp4 -


     66 -


     008 Ordering Output.mp4 -


     67 -


     008 Select from a selection with subqueries.mp4 -


     68 -


     009 importing libraries in python.mp4 -


     69 -


     006 Sorting columns (sorting left-to-right).mp4 -


     70 -


     001 Creating a Subselect.mp4 -


     71 -


     004 Creating a Joined View.mp4 -


     72 -


     003 INSERT, UPDATE and DELETE Functions.mp4 -


     73 -


     007 Change report headings with alias.mp4 -


     74 -


     001 Introduction.mp4 -


     75 -


     007 Saving & Exporting.mp4 -


     76 -


     001 Inserting Rows.mp4 -


     77 -


     007 Removing Duplicates.mp4 -


     78 -


     002 Searching Within A Result Set.mp4 -


     79 -


     007 Sorting data in random order.mp4 -


     80 -


     003 Performance.mp4 -


     81 -


     004 Merge rows with GROUP BY.mp4 -


     82 -


     005 ID Columns.mp4 -


     83 -


     004 Exporting.mp4 -


     84 -


     003 Selecting Part Of A String.mp4 -


     85 -


     004 Selecting Rows.mp4 -


     86 -


     004 working with strings in python.mp4 -


     87 -


     005 Understand SQL JOINS.mp4 -


     88 -


     005 Uber Analysis Of Hot Hour Of Trips.mp4 -


     89 -


     007 Merge data across tables with IN.mp4 -


     90 -


     005 assigning variables in python.mp4 -


     91 -


     003 Creating a View.mp4 -


     92 -


     003 Understand the demo database.mp4 -


     93 -


     002 Raw.mp4 -


     94 -


     009 Conditional Expressions.mp4 -


     95 -


     001 Make your queries faster.mp4 -


     96 -


     004 Changing A Schema.mp4 -


     97 -


     004 Sort SQL results with ORDER BY.mp4 -


     98 -


     007 assigning members in python.mp4 -


     99 -


     005 Folding Case.mp4 -


     100 -


     002 Date and Time Related Functions.mp4 -


     101 -


     002 Database Organisation.mp4 -


     102 -


     001 Addition of Data points Python.mp4 -


     103 -


     003 Uber Analysis Of Categories Of Trips.mp4 -


     104 -


     005 Counting Rows.mp4 -


     105 -


     002 What Type is That Value.mp4 -


     106 -


     003 Integer Division.mp4 -


     107 -


     002 Finding The Length Of A String.mp4 -


     108 -


     003 Aggregating DISTINCT Values.mp4 -


     109 -


     002 Understanding SQL.mp4 -


     110 -


     002 Comparing Strings and variables in Python.mp4 -


     111 -


     007 Defining output Function.mp4 -


     112 -


     002 Using Aggregate Functions.mp4 -


     113 -


     007 Uber Analysis Of Day With Highest Number Of Trips.mp4 -


     114 -


     008 Uber Analysis Of Number Of Trips Per Day.mp4 -


     115 -


     004 Uber Analysis Of Length Of Trips.mp4 -


     116 -


     004 Removing Spaces.mp4 -


     117 -


     006 assigning special variables in python.mp4 -


     118 -


     001 About SQL.mp4 -


     119 -


     006 Deleting Data.mp4 -


     120 -


     001 Introduction.mp4 -


     121 -


     009 Uber Analysis Of Number Of In The Month.mp4 -


     122 -


     001 Introduction.mp4 -


     123 -


     003 Text.mp4 -


     124 -


     001 Understanding JOIN.mp4 -


     125 -


     004 Rounding Numbers.mp4 -


     126 -


     001 Numeric Types.mp4 -


     127 -


     001 Introduction.mp4 -


     128 -


     001 What are Transactions.mp4 -


     129 -


     001 Introduction.mp4 -


     130 -


     003 How to use the Exercise files.mp4 -


     131 -


     001 Date and Times.mp4 -


     132 -


     001 About SQL Strings.mp4 -

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